Highways3
Several authors
Created: 12-04-2024. Last modified: 20-05-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
# remotes::install_github("davidbolin/ngme2", ref = "devel")
library(INLA)
#inla.setOption(num.threads = 7)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(ngme2)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
timeallprocedure <- Sys.time()
load(here("Graph_objects/graph_construction_19MAY24_FRC0134.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_19MAY24_FRC0134_graph_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)We check the units of the graph.
sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.000000
## 1st Qu.:6592 1st Qu.: 1.609 1st Qu.:2.00 1st Qu.:0.001832
## Median :6712 Median : 17.703 Median :3.00 Median :0.004032
## Mean :7378 Mean : 20.107 Mean :2.55 Mean :0.004937
## 3rd Qu.:8739 3rd Qu.: 30.577 3rd Qu.:4.00 3rd Qu.:0.006952
## Max. :8969 Max. :114.263 Max. :4.00 Max. :0.019993
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:75899 Min. :-122.5
## 1st Qu.: 2347 1st Qu.:0.2586 Class :character 1st Qu.:-122.4
## Median : 4733 Median :0.5133 Mode :character Median :-122.4
## Mean : 4968 Mean :0.5067 Mean :-122.4
## 3rd Qu.: 7639 3rd Qu.:0.7609 3rd Qu.:-122.4
## Max. :11104 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.70
## 1st Qu.:37.74
## Median :37.77
## Mean :37.76
## 3rd Qu.:37.78
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001000 Min. : 1
## 1st Qu.:6588 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.003133 1st Qu.: 2390
## Median :6702 Median :0 Median :3.000 Median :0.005536 Median : 4646
## Mean :7312 Mean :0 Mean :2.556 Mean :0.006552 Mean : 4912
## 3rd Qu.:8713 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.008880 3rd Qu.: 7550
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :11096
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:15402 Min. :-122.5 Min. :37.70
## 1st Qu.:0.2888 Class :character 1st Qu.:-122.4 1st Qu.:37.74
## Median :0.5322 Mode :character Median :-122.4 Median :37.77
## Mean :0.5156 Mean :-122.4 Mean :37.76
## 3rd Qu.:0.7568 3rd Qu.:-122.4 3rd Qu.:37.78
## Max. :1.0000 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.00 Min. :1.000 Min. :0.0000000
## 1st Qu.:6589 1st Qu.: 12.87 1st Qu.:2.000 1st Qu.:0.0005897
## Median :6728 Median : 24.14 Median :3.000 Median :0.0012698
## Mean :7485 Mean : 25.98 Mean :2.542 Mean :0.0013554
## 3rd Qu.:8769 3rd Qu.: 35.41 3rd Qu.:4.000 3rd Qu.:0.0020959
## Max. :8969 Max. :114.26 Max. :4.000 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:25843 Min. :-122.5
## 1st Qu.: 2078 1st Qu.:0.2631 Class :character 1st Qu.:-122.5
## Median : 4558 Median :0.5218 Mode :character Median :-122.4
## Mean : 4839 Mean :0.5137 Mean :-122.4
## 3rd Qu.: 7548 3rd Qu.:0.7700 3rd Qu.:-122.4
## Max. :11104 Max. :0.9998 Max. :-122.4
## .coord_y
## Min. :37.70
## 1st Qu.:37.74
## Median :37.76
## Mean :37.76
## 3rd Qu.:37.78
## Max. :37.81We add data to the graph.
sf_graph$get_data()
## # A tibble: 25,842 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 8969 99.8 1 0.000426 -122. 37.7 2
## 2 6588 91.7 1 0.00206 -122. 37.7 2
## 3 8848 99.8 1 0.00256 -122. 37.7 2
## 4 6677 14.5 1 0.000436 -122. 37.8 3
## 5 6532 16.1 1 0.00226 -122. 37.8 3
## 6 6686 25.7 1 0.000499 -122. 37.8 3
## 7 6570 17.7 1 0.00252 -122. 37.8 5
## 8 6677 29.0 1 0.00222 -122. 37.8 6
## 9 6657 24.1 1 0.00203 -122. 37.8 6
## 10 6576 17.7 1 0.000274 -122. 37.8 6
## # ℹ 25,832 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$get_data()
## # A tibble: 101,616 × 50
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0826 4 40 16th St
## 2 NA NA NA NA 0.0826 4 40 16th St
## 3 NA NA NA NA 0.0826 4 40 16th St
## 4 NA NA NA NA 0.0826 4 40 16th St
## 5 8969 99.8 1 0.000426 0.137 0 105 I-280 N
## 6 6588 91.7 1 0.00206 0.137 0 105 I-280 N
## 7 8848 99.8 1 0.00256 0.137 0 105 I-280 N
## 8 NA NA NA NA 0.137 0 105 I-280 N
## 9 NA NA NA NA 0.137 0 105 I-280 N
## 10 NA NA NA NA 0.137 0 105 I-280 N
## # ℹ 101,606 more rows
## # ℹ 42 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed_19May24.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.00 Min. :-2.0263 Length:25842 Min. : 1
## 1st Qu.: 12.87 1st Qu.:-0.4784 Class :character 1st Qu.: 2078
## Median : 24.14 Median :-0.4784 Mode :character Median : 4558
## Mean : 25.98 Mean : 0.0000 Mean : 4839
## 3rd Qu.: 35.41 3rd Qu.: 0.0844 3rd Qu.: 7548
## Max. :114.26 Max. : 4.0947 Max. :11104
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.5 Min. :37.70
## 1st Qu.:0.2631 1st Qu.:-122.5 1st Qu.:37.74
## Median :0.5218 Median :-122.4 Median :37.76
## Mean :0.5137 Mean :-122.4 Mean :37.76
## 3rd Qu.:0.7700 3rd Qu.:-122.4 3rd Qu.:37.78
## Max. :0.9998 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$get_data()
## # A tibble: 25,842 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 99.8 4.09 -122. 37.7 2 0.195 1
## 2 91.7 4.09 -122. 37.7 2 0.227 1
## 3 99.8 4.09 -122. 37.7 2 0.363 1
## 4 14.5 -1.04 -122. 37.8 3 0.309 1
## 5 16.1 -1.04 -122. 37.8 3 0.583 1
## 6 25.7 -1.04 -122. 37.8 3 0.925 1
## 7 17.7 -1.04 -122. 37.8 5 0.0567 1
## 8 29.0 -1.04 -122. 37.8 6 0.129 1
## 9 24.1 -1.04 -122. 37.8 6 0.612 1
## 10 17.7 -1.04 -122. 37.8 6 0.755 1
## # ℹ 25,832 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.009999738 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.88206
## 1st Qu.:-0.75234
## Median :-0.34153
## Mean : 0.00000
## 3rd Qu.: 0.06928
## Max. : 2.585471.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_stat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 161412
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 161412
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 161412
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. ..$ rspde.order: int 2
## .. .. ..$ doubles :List of 11
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. ..$ matrices_less : num [1:521616] 0.0153 0 0 0 0 ...
## .. .. .. ..$ matrices_full : num [1:976984] 0.0153 0 0 0 0 ...
## .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ start.nu : num 0.75
## .. .. ..$ characters:List of 5
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 2
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:2] 0 1.35
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:2] 0 1.35
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:165734] 543 -110 -162 -110 -162 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:293940] 0 5681 8781 8782 31844 31929 31930 53648 1 8787 ...
## .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:293940] 30417826 8481012 -6540098 1321185 -14230506 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:434688] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:586826] 0 5399 5681 8781 8782 8783 8784 31034 31844 31927 ...
## .. .. ..@ p : int [1:53805] 0 15 32 41 50 59 76 85 94 111 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 53804
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:215216] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:215216] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:215216] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 53804
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:25842] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:155052] 13 14 5 2797 6 15 24 19 20 21 ...
## .. ..@ p : int [1:645649] 0 0 0 0 0 2 4 4 4 5 ...
## .. ..@ Dim : int [1:2] 25842 645648
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:155052] 0.0518 0.4218 0.3972 0.1211 0.6596 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 29.79 6.57
## ..$ sd : num [1:2] 0.298 0.203
## ..$ 0.025quant: num [1:2] 29.21 6.17
## ..$ 0.5quant : num [1:2] 29.79 6.57
## ..$ 0.975quant: num [1:2] 30.38 6.97
## ..$ mode : num [1:2] 29.79 6.57
## ..$ kld : num [1:2] 1.03e-08 7.79e-09
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 28.5 28.7 28.9 29.1 29.2 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 5.71 5.81 5.94 6.09 6.17 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -104127 -104126
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:25842] 0.0296 0.0342 0.0297 0.0339 0.0334 ...
## $ waic :List of 4
## ..$ waic : num 200778
## ..$ p.eff : num 7279
## ..$ local.waic : num [1:25842] 7.48 6.9 7.62 6.95 7.02 ...
## ..$ local.p.eff: num [1:25842] 0.2238 0.0775 0.2942 0.0893 0.1097 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:25842] 0.884 -0.623 0.902 -0.65 -0.686 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 645648 obs. of 8 variables:
## .. ..$ ID : num [1:645648] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:645648] -1.302 -0.472 13.165 8.651 -6.585 ...
## .. ..$ sd : num [1:645648] 9.2 9.22 11 12.64 8.29 ...
## .. ..$ 0.025quant: num [1:645648] -19.3 -18.6 -8.4 -16.1 -22.8 ...
## .. ..$ 0.5quant : num [1:645648] -1.299 -0.471 13.163 8.645 -6.585 ...
## .. ..$ 0.975quant: num [1:645648] 16.72 17.61 34.74 33.45 9.68 ...
## .. ..$ mode : num [1:645648] -1.299 -0.471 13.163 8.645 -6.585 ...
## .. ..$ kld : num [1:645648] 2.19e-11 7.74e-12 3.20e-11 7.42e-11 2.85e-11 ...
## $ marginals.random :List of 1
## ..$ field:List of 645648
## .. ..$ index.1 : num [1:43, 1:2] -40.6 -35.6 -29.8 -22.7 -19.3 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -39.9 -34.9 -29 -22 -18.6 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -33.7 -27.8 -20.8 -12.4 -8.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -45.2 -38.3 -30.4 -20.7 -16.1 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.5 : num [1:43, 1:2] -42 -37.5 -32.2 -25.9 -22.8 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -45.4 -40.7 -35.3 -28.6 -25.5 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ index.20 : num [1:43, 1:2] -50.9 -45 -38.3 -30.1 -26.1 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ index.22 : num [1:43, 1:2] -36.5 -32.2 -27.4 -21.4 -18.6 ...
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## .. ..$ index.27 : num [1:43, 1:2] -19.22 -15.78 -11.78 -6.93 -4.6 ...
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## .. ..$ index.30 : num [1:43, 1:2] -49.3 -43.3 -36.3 -27.9 -23.8 ...
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## .. ..$ index.34 : num [1:43, 1:2] -54.2 -47.1 -38.9 -28.9 -24.1 ...
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## .. ..$ N : num 161412
## .. ..$ Ntotal: num 645648
## .. ..$ ngroup: num 1
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## $ summary.linear.predictor :'data.frame': 671492 obs. of 7 variables:
## ..$ mean : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ sd : num [1:671492] 5.99 5.85 7.13 6.36 6.39 ...
## ..$ 0.025quant: num [1:671492] 81.63 82.31 80.4 2.74 5.77 ...
## ..$ 0.5quant : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ 0.975quant: num [1:671492] 105.1 105.3 108.4 27.7 30.8 ...
## ..$ mode : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ kld : num [1:671492] 4.88e-11 4.84e-11 4.82e-11 3.98e-11 4.13e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 671492 obs. of 6 variables:
## ..$ mean : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ sd : num [1:671492] 5.99 5.85 7.13 6.36 6.39 ...
## ..$ 0.025quant: num [1:671492] 81.63 82.31 80.4 2.74 5.77 ...
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## ..$ mode : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
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## $ size.linear.predictor :List of 5
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## ..$ N : num 645650
## ..$ Ntotal: num 671492
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 4 obs. of 6 variables:
## ..$ mean : num [1:4] 0.0103 3.6887 -1.8619 -3.7646
## ..$ sd : num [1:4] 0.000156 0.035616 0.06785 0.06263
## ..$ 0.025quant: num [1:4] 0.00998 3.61492 -1.98889 -3.88036
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## ..$ mode : num [1:4] 0.0103 3.6957 -1.8738 -3.778
## $ marginals.hyperpar :List of 4
## ..$ Precision for the Gaussian observations: num [1:43, 1:2] 0.00963 0.00971 0.00981 0.00992 0.00998 ...
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## ..$ Theta1 for field : num [1:43, 1:2] 3.52 3.54 3.57 3.6 3.61 ...
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## $ internal.summary.hyperpar :'data.frame': 4 obs. of 6 variables:
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## ..$ sd : num [1:4] 0.0152 0.0356 0.0678 0.0626
## ..$ 0.025quant: num [1:4] -4.61 3.61 -1.99 -3.88
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## ..$ 0.975quant: num [1:4] -4.55 3.75 -1.72 -3.63
## ..$ mode : num [1:4] -4.58 3.7 -1.87 -3.78
## $ internal.marginals.hyperpar:List of 4
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## ..$ Theta1 for field : num [1:43, 1:2] 3.52 3.54 3.57 3.6 3.61 ...
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## ..$ Theta2 for field : num [1:43, 1:2] -2.13 -2.1 -2.06 -2.01 -1.99 ...
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## ..$ Theta3 for field : num [1:43, 1:2] -4.01 -3.98 -3.94 -3.9 -3.88 ...
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## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:671492] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:721] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:4, 1:4] 0.000233 -0.00007 -0.0004 0.000118 -0.00007 ...
## ..$ cor.intern : num [1:4, 1:4] 1 -0.13 -0.385 0.125 -0.13 ...
## ..$ cov.intern.eigenvalues : num [1:4] 6.22e-05 2.25e-04 4.81e-03 4.81e-03
## ..$ cov.intern.eigenvectors : num [1:4, 1:4] 0.426 -0.775 0.192 -0.425 -0.9 ...
## ..$ reordering : int [1:645650] 579544 579559 535091 542032 568234 568306 565441 565447 571029 565218 ...
## ..$ theta.tags : chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## ..$ log.posterior.mode : num -104115
## ..$ stdev.corr.negative : num [1:4] 0.925 0.977 0.87 0.84
## ..$ stdev.corr.positive : num [1:4] 1.08 1.02 1.15 1.19
## ..$ to.theta :List of 4
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ from.theta :List of 4
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
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## ..$ opt.directions : num [1:4, 1:4] 0.0481 -0.1983 0.0922 0.9746 -0.0116 ...
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## .. .. ..$ : chr [1:4] "dir:1" "dir:2" "dir:3" "dir:4"
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 25842
## .. ..$ npred : int 645650
## .. ..$ mnpred : int 671492
## .. ..$ Npred : int 25842
## .. ..$ n : int 645650
## .. ..$ nz : int 3062877
## .. ..$ prior_nz : int 2649458
## .. ..$ ntheta : int 4
## .. ..$ nconfig : int 25
## .. ..$ offsets : num [1:671492] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 25843 671493 1317141 1317142
## .. .. ..$ length: int [1:5] 25842 645650 645648 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:645650] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:645650] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:645650] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:206658] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:206658] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 25842 645650
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:206658] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 25
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.58 3.7 -1.87 -3.78
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:645650] -1.288 -0.462 13.18 8.637 -6.601 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.288 -0.462 13.18 8.637 -6.601 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1285 0.1038 0.0505 0.0489 0.0536 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 84.7 85.3 121.2 159.7 68.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1285 0.1038 0.0505 0.0489 0.0517 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06587 -0.0212 0.05562 -0.00756 -0.02272 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.789 6.572 -1.288 -0.462 13.18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.57 3.68 -1.87 -3.79
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.72
## .. .. .. ..$ log.posterior.orig: num -2.52
## .. .. .. ..$ mean : num [1:645650] -1.303 -0.471 13.16 8.67 -6.553 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.303 -0.471 13.16 8.67 -6.553 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1343 0.1085 0.0528 0.0511 0.0559 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 81.7 82.2 116.7 153.8 66.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1343 0.1085 0.0528 0.0511 0.054 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0671 -0.0207 0.057 -0.0079 -0.0231 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.77 6.597 -1.303 -0.471 13.16 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.58 3.71 -1.88 -3.77
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.41
## .. .. .. ..$ log.posterior.orig: num -2.21
## .. .. .. ..$ mean : num [1:645650] -1.276 -0.455 13.174 8.602 -6.631 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.276 -0.455 13.174 8.602 -6.631 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1243 0.1005 0.0489 0.0473 0.0519 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 87.2 87.7 124.8 164.3 71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1243 0.1005 0.0489 0.0473 0.05 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0649 -0.0216 0.0545 -0.0073 -0.0224 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.805 6.55 -1.276 -0.455 13.174 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.61 3.68 -1.87 -3.79
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.68
## .. .. .. ..$ log.posterior.orig: num -2.49
## .. .. .. ..$ mean : num [1:645650] -1.28 -0.46 13.06 8.55 -6.49 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.28 -0.46 13.06 8.55 -6.49 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1331 0.1076 0.0523 0.0507 0.0554 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 82 82.6 117.6 154.6 67.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1331 0.1076 0.0523 0.0507 0.0536 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06547 -0.019 0.05606 -0.00787 -0.02246 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.6 94.2 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.74 6.65 -1.28 -0.46 13.06 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.55 3.71 -1.87 -3.77
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.6
## .. .. .. ..$ log.posterior.orig: num -2.41
## .. .. .. ..$ mean : num [1:645650] -1.297 -0.464 13.274 8.708 -6.691 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.297 -0.464 13.274 8.708 -6.691 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1248 0.1008 0.049 0.0475 0.0521 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 87.1 87.7 124.4 164.1 70.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1248 0.1008 0.049 0.0475 0.0502 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06633 -0.02329 0.05524 -0.00729 -0.02298 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.838 6.5 -1.297 -0.464 13.274 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.57 3.61 -1.95 -3.64
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.91
## .. .. .. ..$ log.posterior.orig: num -1.72
## .. .. .. ..$ mean : num [1:645650] -0.902 -0.281 12.219 7.064 -6.452 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.902 -0.281 12.219 7.064 -6.452 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.12 0.0971 0.0472 0.0457 0.0502 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 79.9 80.2 119.1 153 69.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.12 0.0971 0.0472 0.0457 0.0483 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.068 -0.0202 0.0585 -0.0074 -0.0225 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.7 94.2 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.665 6.813 -0.902 -0.281 12.219 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.58 3.76 -1.82 -3.88
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.53
## .. .. .. ..$ log.posterior.orig: num -1.33
## .. .. .. ..$ mean : num [1:645650] -1.643 -0.647 13.938 9.915 -6.679 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.643 -0.647 13.938 9.915 -6.679 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1359 0.1098 0.0534 0.0517 0.0565 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 88.2 89 122.2 163.8 68.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1359 0.1098 0.0534 0.0517 0.0547 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06447 -0.0218 0.05371 -0.00777 -0.02295 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.88 6.392 -1.643 -0.647 13.938 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.59 3.69 -1.71 -3.7
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.7
## .. .. .. ..$ log.posterior.orig: num -1.5
## .. .. .. ..$ mean : num [1:645650] -1.73 -0.697 13.955 10.131 -6.64 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.73 -0.697 13.955 10.131 -6.64 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1394 0.1126 0.0548 0.053 0.0579 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 88.2 89.1 121.8 163.3 67.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1394 0.1126 0.0548 0.053 0.0561 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.064 -0.02192 0.05309 -0.00787 -0.02301 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.908 6.336 -1.73 -0.697 13.955 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.57 3.7 -1.99 -3.84
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.4
## .. .. .. ..$ log.posterior.orig: num -1.2
## .. .. .. ..$ mean : num [1:645650] -1.025 -0.336 12.637 7.628 -6.539 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.025 -0.336 12.637 7.628 -6.539 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.122 0.0986 0.048 0.0465 0.051 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 82 82.3 120.2 156.2 69.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.122 0.0986 0.048 0.0465 0.0491 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06736 -0.02055 0.05761 -0.00743 -0.02254 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.2 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.703 6.74 -1.025 -0.336 12.637 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.57 3.74 -1.91 -3.85
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.73
## .. .. .. ..$ log.posterior.orig: num -1.53
## .. .. .. ..$ mean : num [1:645650] -1.31 -0.47 13.34 8.77 -6.69 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.31 -0.47 13.34 8.77 -6.69 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1242 0.1004 0.0488 0.0473 0.0519 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 87.8 88.3 125 165.3 70.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1242 0.1004 0.0488 0.0473 0.05 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06554 -0.0225 0.05479 -0.00728 -0.02268 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.83 6.52 -1.31 -0.47 13.34 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.58 3.74 -1.77 -3.78
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.75
## .. .. .. ..$ log.posterior.orig: num -2.56
## .. .. .. ..$ mean : num [1:645650] -1.685 -0.668 14.015 10.055 -6.735 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.685 -0.668 14.015 10.055 -6.735 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1328 0.1073 0.0522 0.0505 0.0553 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 91 91.9 125.8 168.8 70 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1328 0.1073 0.0522 0.0505 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06394 -0.02311 0.05263 -0.00752 -0.02292 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94 94.7 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.928 6.316 -1.685 -0.668 14.015 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.56 3.67 -1.97 -3.73
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.74
## .. .. .. ..$ log.posterior.orig: num -2.55
## .. .. .. ..$ mean : num [1:645650] -0.959 -0.305 12.493 7.361 -6.562 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.959 -0.305 12.493 7.361 -6.562 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1167 0.0944 0.0459 0.0445 0.0489 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 83.5 83.8 123.4 159.6 71.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1167 0.0944 0.0459 0.0445 0.047 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06734 -0.02169 0.05719 -0.00713 -0.02242 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.3 15.2 18.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.716 6.731 -0.959 -0.305 12.493 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.57 3.66 -1.83 -3.67
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.08
## .. .. .. ..$ log.posterior.orig: num -0.884
## .. .. .. ..$ mean : num [1:645650] -1.27 -0.453 13.123 8.566 -6.635 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.27 -0.453 13.123 8.566 -6.635 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1248 0.1009 0.0491 0.0475 0.0521 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 86.7 87.2 124.3 163.5 70.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1248 0.1009 0.0491 0.0475 0.0502 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0656 -0.0224 0.0549 -0.0073 -0.0227 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.82 6.527 -1.27 -0.453 13.123 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.59 3.73 -1.91 -3.86
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.64
## .. .. .. ..$ log.posterior.orig: num -1.44
## .. .. .. ..$ mean : num [1:645650] -1.3 -0.468 13.217 8.686 -6.586 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.3 -0.468 13.217 8.686 -6.586 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1286 0.1039 0.0505 0.049 0.0536 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 85 85.6 121.4 160.1 68.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1286 0.1039 0.0505 0.049 0.0517 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06512 -0.02035 0.05522 -0.00758 -0.02244 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.775 6.592 -1.3 -0.468 13.217 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.61 3.72 -1.77 -3.79
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.82
## .. .. .. ..$ log.posterior.orig: num -2.63
## .. .. .. ..$ mean : num [1:645650] -1.673 -0.665 13.892 9.963 -6.627 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.673 -0.665 13.892 9.963 -6.627 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1374 0.111 0.054 0.0523 0.0571 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 88.2 89 122.2 163.6 68.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1374 0.111 0.054 0.0523 0.0553 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0635 -0.02101 0.05303 -0.00783 -0.02267 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.5 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.876 6.391 -1.673 -0.665 13.892 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.59 3.66 -1.97 -3.74
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.74
## .. .. .. ..$ log.posterior.orig: num -2.54
## .. .. .. ..$ mean : num [1:645650] -0.954 -0.304 12.375 7.294 -6.464 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.954 -0.304 12.375 7.294 -6.464 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1208 0.0977 0.0475 0.046 0.0505 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 80.9 81.2 119.8 154.6 69.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1208 0.0977 0.0475 0.046 0.0486 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06692 -0.0195 0.05764 -0.00742 -0.0222 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.6 94.1 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.667 6.802 -0.954 -0.304 12.375 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.6 3.65 -1.83 -3.67
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.14
## .. .. .. ..$ log.posterior.orig: num -0.941
## .. .. .. ..$ mean : num [1:645650] -1.262 -0.451 13.003 8.488 -6.532 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.262 -0.451 13.003 8.488 -6.532 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1292 0.1044 0.0508 0.0492 0.0538 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 84 84.5 120.7 158.4 69 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1292 0.1044 0.0508 0.0492 0.052 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0651 -0.0203 0.0553 -0.0076 -0.0224 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.77 6.6 -1.262 -0.451 13.003 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.56 3.73 -1.9 -3.86
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.71
## .. .. .. ..$ log.posterior.orig: num -1.51
## .. .. .. ..$ mean : num [1:645650] -1.323 -0.478 13.32 8.797 -6.646 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.323 -0.478 13.32 8.797 -6.646 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1294 0.1046 0.0509 0.0493 0.054 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 84.8 85.4 120.7 159.6 68.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1294 0.1046 0.0509 0.0493 0.0521 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0667 -0.022 0.0561 -0.0076 -0.0231 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.807 6.542 -1.323 -0.478 13.32 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.57 3.72 -1.76 -3.79
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.83
## .. .. .. ..$ log.posterior.orig: num -2.63
## .. .. .. ..$ mean : num [1:645650] -1.701 -0.679 13.998 10.084 -6.688 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.701 -0.679 13.998 10.084 -6.688 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1383 0.1117 0.0543 0.0526 0.0575 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 87.9 88.8 121.5 163 67.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1383 0.1117 0.0543 0.0526 0.0556 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06504 -0.02266 0.05386 -0.00784 -0.02332 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.909 6.34 -1.701 -0.679 13.998 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.55 3.66 -1.97 -3.74
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.89
## .. .. .. ..$ log.posterior.orig: num -2.7
## .. .. .. ..$ mean : num [1:645650] -0.972 -0.311 12.474 7.393 -6.523 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.972 -0.311 12.474 7.393 -6.523 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1216 0.0983 0.0478 0.0463 0.0509 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 80.7 81 119.2 154.2 69.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1216 0.0983 0.0478 0.0463 0.049 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06851 -0.02118 0.05852 -0.00743 -0.02282 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.2 18.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.699 6.753 -0.972 -0.311 12.474 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.56 3.65 -1.83 -3.67
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.08
## .. .. .. ..$ log.posterior.orig: num -0.886
## .. .. .. ..$ mean : num [1:645650] -1.285 -0.461 13.105 8.597 -6.592 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.285 -0.461 13.105 8.597 -6.592 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.13 0.1051 0.0511 0.0495 0.0542 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 83.8 84.3 120.1 157.9 68.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.13 0.1051 0.0511 0.0495 0.0523 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0667 -0.02194 0.05613 -0.00761 -0.02307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.803 6.55 -1.285 -0.461 13.105 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.59 3.72 -1.9 -3.87
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.66
## .. .. .. ..$ log.posterior.orig: num -1.46
## .. .. .. ..$ mean : num [1:645650] -1.314 -0.477 13.198 8.716 -6.54 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.314 -0.477 13.198 8.716 -6.54 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1339 0.1083 0.0526 0.051 0.0557 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 82.2 82.7 117.3 154.7 66.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1339 0.1083 0.0526 0.051 0.0539 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0663 -0.0198 0.0565 -0.0079 -0.0228 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.2 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.757 6.615 -1.314 -0.477 13.198 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.6 3.71 -1.76 -3.8
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.84
## .. .. .. ..$ log.posterior.orig: num -2.64
## .. .. .. ..$ mean : num [1:645650] -1.688 -0.675 13.875 9.991 -6.578 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.688 -0.675 13.875 9.991 -6.578 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1432 0.1157 0.0562 0.0545 0.0594 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 85.2 86.1 118 158 65.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1432 0.1157 0.0562 0.0545 0.0576 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06462 -0.02052 0.05427 -0.00816 -0.02304 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.857 6.415 -1.688 -0.675 13.875 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.58 3.64 -1.97 -3.75
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -6.03
## .. .. .. ..$ log.posterior.orig: num -2.84
## .. .. .. ..$ mean : num [1:645650] -0.966 -0.311 12.355 7.325 -6.423 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.966 -0.311 12.355 7.325 -6.423 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1258 0.1018 0.0495 0.0479 0.0525 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 78.2 78.5 115.7 149.4 67.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1258 0.1018 0.0495 0.0479 0.0507 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06811 -0.01896 0.05898 -0.00772 -0.02258 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.6 94 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.65 6.824 -0.966 -0.311 12.355 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## $ .args :List of 30
## ..$ formula :Class 'formula' language BRU.response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## ..$ family : chr "gaussian"
## ..$ data :List of 21
## .. ..$ BRU.response : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. ..$ BRU.E : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:25842] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:645650] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:645650] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:645650] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:645650] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:645650] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:645650] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:645650] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:645650] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:645650] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
## .. ..$ BRU_field_main_model :List of 20
## .. .. ..$ f :List of 3
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## .. .. .. .. .. .. ..$ matrices_full : num [1:976984] 0.0153 0 0 0 0 ...
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## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
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## .. .. .. .. .. .. ..$ parameterization : chr "matern"
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## .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
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## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
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## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
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## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
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## .. .. .. ..$ short.name : chr "b10"
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## .. .. .. ..$ short.name : chr "b12"
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## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
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## .. .. .. ..$ short.name : chr "b13"
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## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
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## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
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## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
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## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
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## .. .. .. ..$ short.name : chr "b18"
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## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
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## .. .. .. ..$ short.name : chr "b19"
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## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
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## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
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## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ short.name : chr "b22"
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## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
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## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
## .. .. .. ..$ hyperid : num 103024
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
## .. .. .. ..$ hyperid : num 103028
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
## .. .. .. ..$ hyperid : num 103029
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
## .. .. .. ..$ hyperid : num 103030
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
## .. .. .. ..$ hyperid : num 103031
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
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## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
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## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
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## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta49 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta50 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta52 :List of 11
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## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
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## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta57 :List of 11
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## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta58 :List of 11
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## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
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## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta76 :List of 11
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## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta77 :List of 11
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## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta78 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
## .. .. .. ..$ hyperid : num 103083
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
## .. .. .. ..$ hyperid : num 103084
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
## .. .. .. ..$ hyperid : num 103085
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
## .. .. .. ..$ hyperid : num 103087
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
## .. .. .. ..$ hyperid : num 103088
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
## .. .. .. ..$ hyperid : num 103089
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
## .. .. .. ..$ hyperid : num 103090
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
## .. .. .. ..$ hyperid : num 103091
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta92 :List of 11
## .. .. .. ..$ hyperid : num 103092
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta93 :List of 11
## .. .. .. ..$ hyperid : num 103093
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta94 :List of 11
## .. .. .. ..$ hyperid : num 103094
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b94"
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## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x606a1a9116e0>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:521616] 0.0153 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:976984] 0.0153 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:165734] 543 -110 -162 -110 -162 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:293940] 0 5681 8781 8782 31844 31929 31930 53648 1 8787 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:293940] 30417826 8481012 -6540098 1321185 -14230506 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:434688] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:586826] 0 5399 5681 8781 8782 8783 8784 31034 31844 31927 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 15 32 41 50 59 76 85 94 111 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 53804
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:521616] 0.0153 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:976984] 0.0153 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
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## .. .. .. .. .. .. .. .. ..@ x : num [1:165734] 543 -110 -162 -110 -162 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:293940] 0 5681 8781 8782 31844 31929 31930 53648 1 8787 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:293940] 30417826 8481012 -6540098 1321185 -14230506 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:434688] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:586826] 0 5399 5681 8781 8782 8783 8784 31034 31844 31927 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 15 32 41 50 59 76 85 94 111 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 53804
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 161412
## .. .. .. .. ..$ values : int [1:161412] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x606a1a8fae58>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:521616] 0.0153 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:976984] 0.0153 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
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## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:434688] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:586826] 0 5399 5681 8781 8782 8783 8784 31034 31844 31927 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 15 32 41 50 59 76 85 94 111 ...
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 53804
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 161412
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 161412
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:161412] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:161412] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 645648
## .. .. .. .. .. .. ..$ n_inla : num 645648
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 645648 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 645648
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x606a1bf4f8e8>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## .. .. .. ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## .. .. .. ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9007"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.05.18-2"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"## Time difference of 23.11847 mins## inlabru version: 2.10.1.9007
## INLA version: 24.05.18-2
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.569, Running = 187, Post = 39.6, Total = 227
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 29.79 0.298 29.211 29.788 30.379 29.788 0
## SpeedLimit 6.57 0.203 6.166 6.571 6.966 6.571 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.01 0.000 0.01 0.01
## Theta1 for field 3.69 0.036 3.62 3.69
## Theta2 for field -1.86 0.068 -1.99 -1.86
## Theta3 for field -3.77 0.063 -3.88 -3.77
## 0.975quant mode
## Precision for the Gaussian observations 0.011 0.01
## Theta1 for field 3.755 3.70
## Theta2 for field -1.722 -1.87
## Theta3 for field -3.634 -3.78
##
## Deviance Information Criterion (DIC) ...............: 200519.16
## Deviance Information Criterion (DIC, saturated) ....: 34731.41
## Effective number of parameters .....................: 8918.44
##
## Watanabe-Akaike information criterion (WAIC) ...: 200778.36
## Effective number of parameters .................: 7279.23
##
## Marginal log-Likelihood: -104125.73
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 40.0204000 1.41224000 37.1761000 40.0593000 42.7079000 40.2164000
## range 0.1557140 0.01057630 0.1369950 0.1549190 0.1784250 0.1528690
## nu 0.0340361 0.00208589 0.0303793 0.0338976 0.0385395 0.03342721.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_nonstat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 161412
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 161412
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 6
## .. .. .. ..$ n : int 161412
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. ..$ rspde_order: int 2
## .. .. .. ..$ matern_par : int 1
## .. .. ..$ doubles :List of 9
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ start.nu : num 0.75
## .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 4
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ B_tau : num [1:269022] 53804 5 -1.15 -1 0.75 ...
## .. .. .. ..$ B_kappa : num [1:269022] 53804 5 0.896 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:161415] 53804 53804 53804 0 1 ...
## .. .. .. ..$ G: num [1:497205] 53804 53804 165734 0 8781 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:4] 3.7 -1.87 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:165734] 543 -110 -162 -110 -162 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:293940] 0 5681 8781 8782 31844 31929 31930 53648 1 8787 ...
## .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:293940] 30417826 8481012 -6540098 1321185 -14230506 ...
## .. .. ..@ factors : list()
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## .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. ..@ Dim : int [1:2] 53804 53804
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## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. ..@ factors : list()
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## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 53804
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
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## ..$ field.group: int [1:215216] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:215216] 1 1 1 1 1 1 1 1 1 1 ...
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## ..- attr(*, "name")= chr "field"
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## .. ..@ p : int [1:645649] 0 0 0 0 0 2 4 4 4 5 ...
## .. ..@ Dim : int [1:2] 25842 645648
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:155052] 0.0518 0.4218 0.3972 0.1211 0.6596 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
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## ..$ 0.975quant: num [1:2] 30.38 6.93
## ..$ mode : num [1:2] 29.79 6.55
## ..$ kld : num [1:2] 6.71e-09 7.01e-08
## $ marginals.fixed :List of 2
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -104142 -104138
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
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## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:25842] 0.0296 0.0341 0.0297 0.0339 0.0333 ...
## $ waic :List of 4
## ..$ waic : num 200843
## ..$ p.eff : num 7223
## ..$ local.waic : num [1:25842] 7.48 6.91 7.61 6.95 7.02 ...
## ..$ local.p.eff: num [1:25842] 0.2208 0.0769 0.2885 0.0874 0.1078 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:25842] 0.881 -0.622 0.898 -0.646 -0.683 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 645648 obs. of 8 variables:
## .. ..$ ID : num [1:645648] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:645648] -1.037 -0.361 10.983 7.004 -5.931 ...
## .. ..$ sd : num [1:645648] 8.58 8.6 10.6 11.87 8.27 ...
## .. ..$ 0.025quant: num [1:645648] -17.88 -17.24 -9.79 -16.25 -22.15 ...
## .. ..$ 0.5quant : num [1:645648] -1.03 -0.36 10.98 7 -5.93 ...
## .. ..$ 0.975quant: num [1:645648] 15.8 16.5 31.8 30.3 10.3 ...
## .. ..$ mode : num [1:645648] -1.03 -0.36 10.98 7 -5.93 ...
## .. ..$ kld : num [1:645648] 2.02e-11 9.75e-12 4.12e-11 7.05e-11 3.74e-11 ...
## $ marginals.random :List of 1
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## .. ..$ N : num 161412
## .. ..$ Ntotal: num 645648
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 671492 obs. of 7 variables:
## ..$ mean : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ sd : num [1:671492] 5.99 5.86 7.13 6.35 6.38 ...
## ..$ 0.025quant: num [1:671492] 81.63 82.3 80.42 2.78 5.81 ...
## ..$ 0.5quant : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ 0.975quant: num [1:671492] 105.1 105.3 108.4 27.7 30.8 ...
## ..$ mode : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ kld : num [1:671492] 5.19e-11 5.17e-11 5.17e-11 4.50e-11 4.63e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 671492 obs. of 6 variables:
## ..$ mean : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ sd : num [1:671492] 5.99 5.86 7.13 6.35 6.38 ...
## ..$ 0.025quant: num [1:671492] 81.63 82.3 80.42 2.78 5.81 ...
## ..$ 0.5quant : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## ..$ 0.975quant: num [1:671492] 105.1 105.3 108.4 27.7 30.8 ...
## ..$ mode : num [1:671492] 93.4 93.8 94.4 15.2 18.3 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 645650
## ..$ N : num 645650
## ..$ Ntotal: num 671492
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 6 obs. of 6 variables:
## ..$ mean : num [1:6] 0.01026 2.48809 -1.40077 -0.00081 -0.00105 ...
## ..$ sd : num [1:6] 0.00013 0.01338 0.04302 0.00782 0.01069 ...
## ..$ 0.025quant: num [1:6] 0.01 2.4634 -1.4805 -0.0159 -0.0226 ...
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## ..$ 0.975quant: num [1:6] 0.0105 2.516 -1.3115 0.0149 0.0195 ...
## ..$ mode : num [1:6] 0.010227 2.485088 -1.409452 -0.001351 -0.000118 ...
## $ marginals.hyperpar :List of 6
## ..$ Precision for the Gaussian observations: num [1:43, 1:2] 0.00978 0.00983 0.0099 0.00998 0.01002 ...
## .. ..- attr(*, "hyperid")= chr "65001|INLA.Data1"
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 2.44 2.44 2.45 2.46 2.46 ...
## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta2 for field : num [1:43, 1:2] -1.57 -1.55 -1.52 -1.49 -1.48 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] -0.0332 -0.0292 -0.0244 -0.0187 -0.0159 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] -0.0486 -0.0425 -0.0353 -0.0267 -0.0226 ...
## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta5 for field : num [1:43, 1:2] -2.68 -2.66 -2.64 -2.62 -2.6 ...
## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
## $ internal.summary.hyperpar :'data.frame': 6 obs. of 6 variables:
## ..$ mean : num [1:6] -4.579508 2.488184 -1.400488 -0.000792 -0.001078 ...
## ..$ sd : num [1:6] 0.01268 0.01338 0.043 0.00782 0.01069 ...
## ..$ 0.025quant: num [1:6] -4.6029 2.4634 -1.4805 -0.0159 -0.0226 ...
## ..$ 0.5quant : num [1:6] -4.580132 2.487557 -1.40232 -0.000912 -0.000873 ...
## ..$ 0.975quant: num [1:6] -4.5531 2.516 -1.3115 0.0149 0.0195 ...
## ..$ mode : num [1:6] -4.582458 2.485243 -1.408997 -0.001321 -0.000169 ...
## $ internal.marginals.hyperpar:List of 6
## ..$ Log precision for the Gaussian observations: num [1:43, 1:2] -4.63 -4.62 -4.62 -4.61 -4.6 ...
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## .. ..- attr(*, "dimnames")=List of 2
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## ..$ Theta1 for field : num [1:43, 1:2] 2.44 2.44 2.45 2.46 2.46 ...
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta2 for field : num [1:43, 1:2] -1.57 -1.55 -1.52 -1.49 -1.48 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] -0.0332 -0.0292 -0.0244 -0.0187 -0.0159 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] -0.0486 -0.0425 -0.0353 -0.0267 -0.0226 ...
## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta5 for field : num [1:43, 1:2] -2.68 -2.66 -2.64 -2.62 -2.6 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:671492] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:1008] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:6, 1:6] 1.65e-04 2.44e-05 -1.25e-04 -3.96e-06 -3.09e-06 ...
## ..$ cor.intern : num [1:6, 1:6] 1 0.1432 -0.2284 -0.0393 -0.0226 ...
## ..$ cov.intern.eigenvalues : num [1:6] 5.83e-05 7.06e-05 1.77e-04 1.91e-03 7.19e-04 ...
## ..$ cov.intern.eigenvectors : num [1:6, 1:6] 0.0639 -0.2158 0.0558 -0.9578 0.1685 ...
## ..$ reordering : int [1:645650] 389283 389276 473332 473240 411476 411932 411445 411450 411586 411181 ...
## ..$ theta.tags : chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ log.posterior.mode : num -104118
## ..$ stdev.corr.negative : num [1:6] 1.074 1.076 1.317 0.867 0.813 ...
## ..$ stdev.corr.positive : num [1:6] 0.931 0.929 0.76 1.153 1.23 ...
## ..$ to.theta :List of 6
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ from.theta :List of 6
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:6, 1:6] 0.0532 0.2165 0.9571 0.0144 0.0544 ...
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:6] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 25842
## .. ..$ npred : int 645650
## .. ..$ mnpred : int 671492
## .. ..$ Npred : int 25842
## .. ..$ n : int 645650
## .. ..$ nz : int 3062877
## .. ..$ prior_nz : int 2649458
## .. ..$ ntheta : int 6
## .. ..$ nconfig : int 45
## .. ..$ offsets : num [1:671492] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 25843 671493 1317141 1317142
## .. .. ..$ length: int [1:5] 25842 645650 645648 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:645650] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:645650] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:645650] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:206658] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:206658] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 25842 645650
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:206658] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 45
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58 2.48 -1.41 -1.40e-03 -3.14e-05 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.2
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:645650] -1.008 -0.346 10.877 6.886 -5.916 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.008 -0.346 10.877 6.886 -5.916 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1425 0.1152 0.056 0.0543 0.0592 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 73.3 73.6 112 139.9 68.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1425 0.1152 0.056 0.0543 0.0574 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06537 -0.02111 0.05503 -0.00769 -0.02281 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.794 6.553 -1.008 -0.346 10.877 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5817 2.4807 -1.4092 -0.0198 0.0032 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.65
## .. .. .. ..$ log.posterior.orig: num -3.87
## .. .. .. ..$ mean : num [1:645650] -1.045 -0.362 10.992 7.025 -6.134 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.045 -0.362 10.992 7.025 -6.134 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1407 0.1138 0.0553 0.0536 0.0585 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 74.8 75.1 114 142.7 69.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1407 0.1138 0.0553 0.0536 0.0567 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06459 -0.0219 0.05415 -0.00629 -0.02229 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.1 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.761 6.551 -1.045 -0.362 10.992 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58432 2.48958 -1.41149 0.01977 -0.00376 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.92
## .. .. .. ..$ log.posterior.orig: num -4.13
## .. .. .. ..$ mean : num [1:645650] -1.004 -0.347 10.896 6.915 -5.674 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.004 -0.347 10.896 6.915 -5.674 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1465 0.1184 0.0576 0.0558 0.0608 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71.7 72 109.4 136.8 66.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1465 0.1184 0.0576 0.0558 0.059 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06636 -0.02008 0.05617 -0.00937 -0.02349 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.4 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.812 6.558 -1.004 -0.347 10.896 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.57173 2.46844 -1.40625 0.00366 0.00241 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.63
## .. .. .. ..$ log.posterior.orig: num -3.84
## .. .. .. ..$ mean : num [1:645650] -1.026 -0.356 10.907 6.958 -5.832 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.026 -0.356 10.907 6.958 -5.832 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1498 0.1211 0.0589 0.057 0.0622 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 70.4 70.7 107.4 134.4 65.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1498 0.1211 0.0589 0.057 0.0603 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06697 -0.02049 0.05675 -0.00841 -0.02344 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.784 6.575 -1.026 -0.356 10.907 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.59585 2.50376 -1.4149 -0.00726 -0.00285 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.69
## .. .. .. ..$ log.posterior.orig: num -3.9
## .. .. .. ..$ mean : num [1:645650] -1.018 -0.349 10.958 6.946 -6.025 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.018 -0.349 10.958 6.946 -6.025 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1359 0.1099 0.0534 0.0518 0.0565 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 76.8 77.2 117.2 146.7 71.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1359 0.1099 0.0534 0.0518 0.0547 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06364 -0.0217 0.05318 -0.00693 -0.02215 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.804 6.525 -1.018 -0.349 10.958 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.605472 2.470338 -1.40851 0.000733 0.001072 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.2
## .. .. .. ..$ log.posterior.orig: num -2.41
## .. .. .. ..$ mean : num [1:645650] -1.002 -0.345 10.805 6.839 -5.815 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.002 -0.345 10.805 6.839 -5.815 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1474 0.1192 0.058 0.0561 0.0612 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71 71.3 108.7 135.7 66.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1474 0.1192 0.058 0.0561 0.0593 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06531 -0.01924 0.05567 -0.00812 -0.02271 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.7 94.2 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.752 6.617 -1.002 -0.345 10.805 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.54378 2.50989 -1.41329 -0.0051 -0.00194 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.71
## .. .. .. ..$ log.posterior.orig: num -3.92
## .. .. .. ..$ mean : num [1:645650] -1.039 -0.357 11.101 7.07 -6.109 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.039 -0.357 11.101 7.07 -6.109 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1347 0.1089 0.0529 0.0513 0.0561 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 77.7 78.1 118.1 148.2 71.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1347 0.1089 0.0529 0.0513 0.0542 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06555 -0.02433 0.05395 -0.00694 -0.02296 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94 94.7 15.1 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.864 6.439 -1.039 -0.357 11.101 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.592874 2.511859 -1.278928 -0.000991 -0.000244 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.64
## .. .. .. ..$ log.posterior.orig: num -1.85
## .. .. .. ..$ mean : num [1:645650] -1.425 -0.558 11.7 8.322 -6.011 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.425 -0.558 11.7 8.322 -6.011 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1541 0.1245 0.0606 0.0587 0.0638 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 77.4 78 114.2 145.5 67.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1541 0.1245 0.0606 0.0587 0.062 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06347 -0.02204 0.05237 -0.00802 -0.02313 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.923 6.297 -1.425 -0.558 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.575405 2.464462 -1.509028 -0.001711 0.000129 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.21
## .. .. .. ..$ log.posterior.orig: num -1.42
## .. .. .. ..$ mean : num [1:645650] -0.756 -0.231 10.316 5.892 -5.825 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.756 -0.231 10.316 5.892 -5.825 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1342 0.1085 0.0528 0.0511 0.0559 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 70.4 70.5 110.3 135.8 68.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1342 0.1085 0.0528 0.0511 0.054 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.067 -0.0203 0.0572 -0.0075 -0.0225 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.2 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.694 6.748 -0.756 -0.231 10.316 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.59475 2.48006 -1.42222 -0.00435 -0.00239 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.48
## .. .. .. ..$ log.posterior.orig: num -0.694
## .. .. .. ..$ mean : num [1:645650] -1.086 -0.381 11.221 7.243 -6.013 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.086 -0.381 11.221 7.243 -6.013 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1434 0.1159 0.0564 0.0546 0.0595 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 74.5 74.9 112.5 141.8 68 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1434 0.1159 0.0564 0.0546 0.0577 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0649 -0.0205 0.0548 -0.0076 -0.0226 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.782 6.557 -1.086 -0.381 11.221 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.575075 2.487944 -1.402354 0.000545 0.00153 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.44
## .. .. .. ..$ log.posterior.orig: num -0.652
## .. .. .. ..$ mean : num [1:645650] -0.975 -0.331 10.714 6.733 -5.856 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.975 -0.331 10.714 6.733 -5.856 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1429 0.1155 0.0562 0.0544 0.0594 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 72.5 72.8 111.4 138.6 68.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1429 0.1155 0.0562 0.0544 0.0575 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06571 -0.02145 0.05524 -0.00778 -0.02295 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.801 6.549 -0.975 -0.331 10.714 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58157 2.4802 -1.40912 -0.00546 -0.03001 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -10.6
## .. .. .. ..$ log.posterior.orig: num -6.76
## .. .. .. ..$ mean : num [1:645650] -1.153 -0.417 11.388 7.542 -5.96 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.153 -0.417 11.388 7.542 -5.96 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1502 0.1214 0.059 0.0572 0.0623 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 73.3 73.7 109.8 138.9 66.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1502 0.1214 0.059 0.0572 0.0604 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06586 -0.02072 0.05552 -0.00793 -0.02314 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.8 94.4 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.778 6.551 -1.153 -0.417 11.388 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58409 2.48891 -1.41127 0.00222 0.02667 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -10.7
## .. .. .. ..$ log.posterior.orig: num -6.91
## .. .. .. ..$ mean : num [1:645650] -1.179 -0.429 11.56 7.715 -5.981 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.179 -0.429 11.56 7.715 -5.981 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1492 0.1206 0.0586 0.0568 0.0619 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 74.2 74.6 111.2 140.7 67.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1492 0.1206 0.0586 0.0568 0.06 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06558 -0.02074 0.05543 -0.00798 -0.02312 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.807 6.532 -1.179 -0.429 11.56 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.57505 2.49616 -1.45951 0.00349 0.00652 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.18
## .. .. .. ..$ log.posterior.orig: num -2.39
## .. .. .. ..$ mean : num [1:645650] -0.961 -0.322 10.988 6.815 -5.948 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.961 -0.322 10.988 6.815 -5.948 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1359 0.1099 0.0534 0.0518 0.0566 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.2 75.5 114.9 143.8 70.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1359 0.1099 0.0534 0.0518 0.0547 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06554 -0.02165 0.0551 -0.00769 -0.02275 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.799 6.572 -0.961 -0.322 10.988 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.574027 2.492603 -1.458638 0.000352 -0.016625 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.59
## .. .. .. ..$ log.posterior.orig: num -2.8
## .. .. .. ..$ mean : num [1:645650] -0.997 -0.339 11.104 6.975 -5.959 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.997 -0.339 11.104 6.975 -5.959 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1384 0.1119 0.0544 0.0527 0.0576 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 74.9 75.3 113.9 143 69.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1384 0.1119 0.0544 0.0527 0.0557 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06575 -0.02154 0.05527 -0.00774 -0.02286 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.787 6.576 -0.997 -0.339 11.104 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.57415 2.51873 -1.35747 0.00578 0.00797 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.5
## .. .. .. ..$ log.posterior.orig: num -3.71
## .. .. .. ..$ mean : num [1:645650] -1.2 -0.439 11.404 7.666 -5.975 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.2 -0.439 11.404 7.666 -5.975 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1435 0.116 0.0564 0.0546 0.0596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 77.5 78 116.3 147 69.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1435 0.116 0.0564 0.0546 0.0577 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06446 -0.02273 0.0533 -0.00798 -0.02313 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.901 6.383 -1.2 -0.439 11.404 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.57313 2.51517 -1.35659 0.00264 -0.01518 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.51
## .. .. .. ..$ log.posterior.orig: num -3.72
## .. .. .. ..$ mean : num [1:645650] -1.224 -0.452 11.462 7.755 -5.978 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.224 -0.452 11.462 7.755 -5.978 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1453 0.1175 0.0571 0.0553 0.0603 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 77.2 77.7 115.4 146.2 69.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1453 0.1175 0.0571 0.0553 0.0585 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06464 -0.02265 0.05343 -0.00802 -0.0232 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.89 6.388 -1.224 -0.452 11.462 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5922 2.48324 -1.44945 0.00787 0.00935 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.54
## .. .. .. ..$ log.posterior.orig: num -3.75
## .. .. .. ..$ mean : num [1:645650] -0.923 -0.307 10.75 6.615 -5.779 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.923 -0.307 10.75 6.615 -5.779 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1413 0.1143 0.0556 0.0538 0.0587 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71.8 72.1 110.7 137.7 68.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1413 0.1143 0.0556 0.0538 0.0569 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06581 -0.01993 0.05602 -0.00823 -0.02279 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.2 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.76 6.64 -0.923 -0.307 10.75 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.59118 2.47968 -1.44858 0.00473 -0.01379 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.23
## .. .. .. ..$ log.posterior.orig: num -3.44
## .. .. .. ..$ mean : num [1:645650] -0.929 -0.31 10.745 6.627 -5.777 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.929 -0.31 10.745 6.627 -5.777 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1425 0.1152 0.056 0.0543 0.0592 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71.5 71.8 109.9 136.9 67.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1425 0.1152 0.056 0.0543 0.0574 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06596 -0.01987 0.05611 -0.00825 -0.02284 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.2 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.748 6.647 -0.929 -0.31 10.745 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.60737 2.49937 -1.36362 0.00616 0.00759 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.55
## .. .. .. ..$ log.posterior.orig: num -3.76
## .. .. .. ..$ mean : num [1:645650] -1.231 -0.457 11.469 7.768 -5.907 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.231 -0.457 11.469 7.768 -5.907 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1495 0.1208 0.0588 0.0569 0.062 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.4 75.8 112.6 142.7 67.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1495 0.1208 0.0588 0.0569 0.0602 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0641 -0.0203 0.0538 -0.0084 -0.0229 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.847 6.46 -1.231 -0.457 11.469 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.60634 2.49581 -1.36275 0.00303 -0.01555 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.98
## .. .. .. ..$ log.posterior.orig: num -4.19
## .. .. .. ..$ mean : num [1:645650] -1.26 -0.472 11.542 7.877 -5.911 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.26 -0.472 11.542 7.877 -5.911 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1516 0.1225 0.0596 0.0577 0.0628 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.1 75.6 111.7 141.9 66.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1516 0.1225 0.0596 0.0577 0.061 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06425 -0.02019 0.05398 -0.00844 -0.02298 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.8 94.4 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.835 6.465 -1.26 -0.472 11.542 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.55717 2.48496 -1.44787 0.00994 0.01027 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.39
## .. .. .. ..$ log.posterior.orig: num -4.6
## .. .. .. ..$ mean : num [1:645650] -0.944 -0.316 10.855 6.727 -5.815 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.944 -0.316 10.855 6.727 -5.815 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1422 0.115 0.0559 0.0542 0.0591 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71.8 72.1 110.3 137.6 67.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1422 0.115 0.0559 0.0542 0.0572 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0673 -0.0215 0.0568 -0.0084 -0.0235 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.796 6.588 -0.944 -0.316 10.855 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.55615 2.4814 -1.44699 0.00681 -0.01288 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.37
## .. .. .. ..$ log.posterior.orig: num -4.58
## .. .. .. ..$ mean : num [1:645650] -0.94 -0.315 10.812 6.693 -5.81 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.94 -0.315 10.812 6.693 -5.81 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1429 0.1155 0.0562 0.0544 0.0594 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71.5 71.8 109.7 136.8 67.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1429 0.1155 0.0562 0.0544 0.0575 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06743 -0.02147 0.05688 -0.00839 -0.02348 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.785 6.595 -0.94 -0.315 10.812 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.57234 2.5011 -1.36204 0.00824 0.00851 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.21
## .. .. .. ..$ log.posterior.orig: num -3.42
## .. .. .. ..$ mean : num [1:645650] -1.257 -0.468 11.604 7.902 -5.955 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.257 -0.468 11.604 7.902 -5.955 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1497 0.121 0.0588 0.057 0.0621 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.6 76.1 112.6 143 67.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1497 0.121 0.0588 0.057 0.0602 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0655 -0.02186 0.05458 -0.00855 -0.02355 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.5 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.884 6.408 -1.257 -0.468 11.604 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5713 2.4975 -1.3612 0.0051 -0.0146 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.12
## .. .. .. ..$ log.posterior.orig: num -4.33
## .. .. .. ..$ mean : num [1:645650] -1.275 -0.478 11.638 7.962 -5.957 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.275 -0.478 11.638 7.962 -5.957 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1514 0.1223 0.0595 0.0576 0.0628 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.3 75.8 111.8 142.2 66.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1514 0.1223 0.0595 0.0576 0.0609 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06567 -0.0218 0.0547 -0.00857 -0.02361 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.5 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.873 6.413 -1.275 -0.478 11.638 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.59039 2.4656 -1.45403 0.01033 0.00989 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.33
## .. .. .. ..$ log.posterior.orig: num -4.54
## .. .. .. ..$ mean : num [1:645650] -0.971 -0.329 10.934 6.829 -5.764 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.971 -0.329 10.934 6.829 -5.764 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1475 0.1192 0.058 0.0562 0.0612 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 70.1 70.4 107.2 134 65.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1475 0.1192 0.058 0.0562 0.0594 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06689 -0.019 0.05735 -0.00878 -0.0232 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.6 94.1 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.743 6.663 -0.971 -0.329 10.934 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58936 2.46204 -1.45315 0.00719 -0.01325 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.62
## .. .. .. ..$ log.posterior.orig: num -4.83
## .. .. .. ..$ mean : num [1:645650] -0.971 -0.33 10.907 6.814 -5.761 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.971 -0.33 10.907 6.814 -5.761 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1484 0.12 0.0583 0.0565 0.0616 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 69.8 70.1 106.6 133.3 65.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1484 0.12 0.0583 0.0565 0.0597 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06703 -0.01897 0.05742 -0.00877 -0.02323 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.2 93.6 94.1 15.3 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.731 6.67 -0.971 -0.33 10.907 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5895 2.4882 -1.352 0.0126 0.0113 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -9.22
## .. .. .. ..$ log.posterior.orig: num -5.43
## .. .. .. ..$ mean : num [1:645650] -1.209 -0.448 11.328 7.666 -5.774 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.209 -0.448 11.328 7.666 -5.774 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1564 0.1264 0.0615 0.0595 0.0648 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 72 72.5 108.2 136.5 65 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1564 0.1264 0.0615 0.0595 0.0629 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06579 -0.0201 0.05552 -0.00914 -0.02361 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.4 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.843 6.476 -1.209 -0.448 11.328 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58846 2.48461 -1.3511 0.00948 -0.0118 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.66
## .. .. .. ..$ log.posterior.orig: num -4.87
## .. .. .. ..$ mean : num [1:645650] -1.19 -0.44 11.24 7.57 -5.76 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.19 -0.44 11.24 7.57 -5.76 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1566 0.1265 0.0615 0.0596 0.0648 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 71.7 72.1 107.6 135.8 64.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1566 0.1265 0.0615 0.0596 0.063 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0659 -0.0201 0.05555 -0.00911 -0.02361 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.4 18.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.83 6.48 -1.19 -0.44 11.24 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5659 2.4957 -1.4505 -0.0107 0.011 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.87
## .. .. .. ..$ log.posterior.orig: num -4.08
## .. .. .. ..$ mean : num [1:645650] -0.96 -0.321 10.931 6.785 -6.083 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.96 -0.321 10.931 6.785 -6.083 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1346 0.1088 0.0529 0.0513 0.0561 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.8 76.1 116.2 145 71.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1346 0.1088 0.0529 0.0513 0.0542 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06522 -0.0227 0.05454 -0.00654 -0.02245 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.1 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.783 6.565 -0.96 -0.321 10.931 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5649 2.4922 -1.4496 -0.0138 -0.0122 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.39
## .. .. .. ..$ log.posterior.orig: num -3.6
## .. .. .. ..$ mean : num [1:645650] -0.949 -0.316 10.859 6.714 -6.073 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.949 -0.316 10.859 6.714 -6.073 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.135 0.1091 0.0531 0.0514 0.0562 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.4 75.7 115.6 144.2 71.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.135 0.1091 0.0531 0.0514 0.0543 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06533 -0.0227 0.05457 -0.00653 -0.02246 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.1 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.771 6.573 -0.949 -0.316 10.859 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5811 2.5119 -1.3646 -0.0124 0.0092 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.53
## .. .. .. ..$ log.posterior.orig: num -3.74
## .. .. .. ..$ mean : num [1:645650] -1.278 -0.475 11.682 7.969 -6.235 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.278 -0.475 11.682 7.969 -6.235 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1417 0.1145 0.0557 0.0539 0.0589 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 79.7 80.3 118.6 150.8 71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1417 0.1145 0.0557 0.0539 0.057 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06344 -0.02306 0.05235 -0.00662 -0.02251 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94 94.7 15.1 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.868 6.384 -1.278 -0.475 11.682 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5801 2.5083 -1.3638 -0.0155 -0.0139 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.79
## .. .. .. ..$ log.posterior.orig: num -4
## .. .. .. ..$ mean : num [1:645650] -1.288 -0.482 11.66 7.98 -6.221 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.288 -0.482 11.66 7.98 -6.221 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1436 0.1161 0.0564 0.0547 0.0596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 79.1 79.6 117.5 149.4 70.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1436 0.1161 0.0564 0.0547 0.0578 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06362 -0.02299 0.05247 -0.00665 -0.02258 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94 94.7 15.1 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.855 6.39 -1.288 -0.482 11.66 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5992 2.4764 -1.4566 -0.0103 0.0106 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.22
## .. .. .. ..$ log.posterior.orig: num -4.43
## .. .. .. ..$ mean : num [1:645650] -0.987 -0.334 11.012 6.889 -6.028 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.987 -0.334 11.012 6.889 -6.028 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1396 0.1129 0.0549 0.0532 0.058 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 73.9 74.2 112.9 141.3 69.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1396 0.1129 0.0549 0.0532 0.0562 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06479 -0.02027 0.05505 -0.00696 -0.02222 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.73 6.64 -0.987 -0.334 11.012 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5981 2.4728 -1.4557 -0.0134 -0.0126 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.01
## .. .. .. ..$ log.posterior.orig: num -4.22
## .. .. .. ..$ mean : num [1:645650] -0.98 -0.331 10.956 6.837 -6.021 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.98 -0.331 10.956 6.837 -6.021 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1401 0.1133 0.0551 0.0534 0.0582 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 73.5 73.8 112.3 140.5 68.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1401 0.1133 0.0551 0.0534 0.0564 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06491 -0.02026 0.05509 -0.00694 -0.02223 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.3 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.718 6.648 -0.98 -0.331 10.956 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.59826 2.49895 -1.35457 -0.00798 0.01204 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.03
## .. .. .. ..$ log.posterior.orig: num -4.24
## .. .. .. ..$ mean : num [1:645650] -1.23 -0.455 11.406 7.732 -6.047 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.23 -0.455 11.406 7.732 -6.047 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.148 0.1196 0.0582 0.0564 0.0614 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 76 76.5 113.9 143.9 68.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.148 0.1196 0.0582 0.0564 0.0596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06371 -0.02135 0.05326 -0.00724 -0.02258 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.832 6.452 -1.23 -0.455 11.406 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5972 2.4954 -1.3537 -0.0111 -0.0111 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.12
## .. .. .. ..$ log.posterior.orig: num -3.33
## .. .. .. ..$ mean : num [1:645650] -1.205 -0.443 11.287 7.599 -6.032 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.205 -0.443 11.287 7.599 -6.032 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1479 0.1195 0.0581 0.0563 0.0613 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.5 76 113.4 143.1 68.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1479 0.1195 0.0581 0.0563 0.0595 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0638 -0.0214 0.0533 -0.0072 -0.0226 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.5 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.82 6.461 -1.205 -0.443 11.287 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.56413 2.47811 -1.45504 -0.00819 0.0115 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.21
## .. .. .. ..$ log.posterior.orig: num -4.42
## .. .. .. ..$ mean : num [1:645650] -1.009 -0.344 11.12 7.005 -6.069 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.009 -0.344 11.12 7.005 -6.069 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1405 0.1135 0.0552 0.0535 0.0584 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 73.9 74.2 112.6 141.2 68.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1405 0.1135 0.0552 0.0535 0.0565 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06626 -0.02183 0.05584 -0.00708 -0.02286 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.768 6.587 -1.009 -0.344 11.12 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5631 2.4746 -1.4542 -0.0113 -0.0116 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.04
## .. .. .. ..$ log.posterior.orig: num -4.25
## .. .. .. ..$ mean : num [1:645650] -0.993 -0.336 11.024 6.906 -6.059 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.993 -0.336 11.024 6.906 -6.059 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1405 0.1136 0.0552 0.0535 0.0585 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 73.5 73.8 112 140.4 68.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1405 0.1136 0.0552 0.0535 0.0566 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06635 -0.02185 0.05585 -0.00704 -0.02285 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.4 93.8 94.4 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.756 6.596 -0.993 -0.336 11.024 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5632 2.5007 -1.353 -0.0059 0.013 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -9.64
## .. .. .. ..$ log.posterior.orig: num -5.85
## .. .. .. ..$ mean : num [1:645650] -1.256 -0.467 11.541 7.867 -6.099 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.256 -0.467 11.541 7.867 -6.099 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1482 0.1198 0.0582 0.0564 0.0615 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 76.2 76.7 113.9 144.3 68.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1482 0.1198 0.0582 0.0564 0.0596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06514 -0.02295 0.05399 -0.00734 -0.02322 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.87 6.398 -1.256 -0.467 11.541 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.5622 2.49712 -1.35212 -0.00903 -0.01019 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.45
## .. .. .. ..$ log.posterior.orig: num -4.66
## .. .. .. ..$ mean : num [1:645650] -1.219 -0.449 11.38 7.681 -6.081 ...
## .. .. .. ..$ improved.mean : num [1:645650] -1.219 -0.449 11.38 7.681 -6.081 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1476 0.1193 0.058 0.0562 0.0613 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 75.8 76.2 113.5 143.5 68.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1476 0.1193 0.058 0.0562 0.0594 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0652 -0.023 0.05397 -0.00728 -0.02318 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 93.9 94.6 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.858 6.408 -1.219 -0.449 11.38 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58128 2.46518 -1.44498 -0.00381 0.01434 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -9.63
## .. .. .. ..$ log.posterior.orig: num -5.84
## .. .. .. ..$ mean : num [1:645650] -0.97 -0.328 10.88 6.8 -5.897 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.97 -0.328 10.88 6.8 -5.897 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.146 0.118 0.0574 0.0556 0.0606 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 70.6 70.9 108.4 135.2 66.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.146 0.118 0.0574 0.0556 0.0588 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.06653 -0.02008 0.05677 -0.00765 -0.0229 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.3 93.7 94.2 15.2 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:645650, 1:2] 29.731 6.655 -0.97 -0.328 10.88 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.58025 2.46162 -1.4441 -0.00695 -0.0088 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.88
## .. .. .. ..$ log.posterior.orig: num -4.09
## .. .. .. ..$ mean : num [1:645650] -0.924 -0.307 10.668 6.56 -5.874 ...
## .. .. .. ..$ improved.mean : num [1:645650] -0.924 -0.307 10.668 6.56 -5.874 ...
## .. .. .. ..$ skewness : logi [1:645650] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 0.1447 0.117 0.0569 0.0551 0.0601 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:3062877] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:3062877] 70.2 70.4 108.1 134.4 66.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:2649458] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:645651] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 645650 645650
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:2649458] 0.1447 0.117 0.0569 0.0551 0.0583 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
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## .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. ..$ prior.nu :List of 4
## .. .. .. ..$ loglocation: num -0.288
## .. .. .. ..$ mean : num 0.75
## .. .. .. ..$ prec : num 3
## .. .. .. ..$ logscale : num 1
## .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. ..$ start.nu : num 0.75
## .. .. ..$ integer.nu : logi FALSE
## .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. ..$ stationary : logi FALSE
## .. .. ..$ rspde.order : num 2
## .. .. ..$ dim : num 1
## .. .. ..$ est_nu : logi TRUE
## .. .. ..$ nu.upper.bound : num 1.5
## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta2 :List of 11
## .. .. .. ..$ hyperid : num 103002
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta2"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b2"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[2] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[2] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta3 :List of 11
## .. .. .. ..$ hyperid : num 103003
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta3"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b3"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[3] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[3] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta4 :List of 11
## .. .. .. ..$ hyperid : num 103004
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta5 :List of 11
## .. .. .. ..$ hyperid : num 103005
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta6 :List of 11
## .. .. .. ..$ hyperid : num 103006
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta7 :List of 11
## .. .. .. ..$ hyperid : num 103007
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta8 :List of 11
## .. .. .. ..$ hyperid : num 103008
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta9 :List of 11
## .. .. .. ..$ hyperid : num 103009
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta10 :List of 11
## .. .. .. ..$ hyperid : num 103010
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta11 :List of 11
## .. .. .. ..$ hyperid : num 103011
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
## .. .. .. ..$ hyperid : num 103012
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta13 :List of 11
## .. .. .. ..$ hyperid : num 103013
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
## .. .. .. ..$ hyperid : num 103014
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
## .. .. .. ..$ hyperid : num 103015
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
## .. .. .. ..$ hyperid : num 103016
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
## .. .. .. ..$ hyperid : num 103017
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
## .. .. .. ..$ hyperid : num 103018
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
## .. .. .. ..$ hyperid : num 103019
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
## .. .. .. ..$ hyperid : num 103024
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
## .. .. .. ..$ hyperid : num 103025
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
## .. .. .. ..$ hyperid : num 103026
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
## .. .. .. ..$ hyperid : num 103028
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
## .. .. .. ..$ hyperid : num 103029
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
## .. .. .. ..$ hyperid : num 103030
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
## .. .. .. ..$ hyperid : num 103031
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
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## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
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## .. .. .. ..$ short.name : chr "b42"
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## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
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## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
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## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
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## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta53 :List of 11
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## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta54 :List of 11
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## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta59 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta60 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta61 :List of 11
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## .. .. .. ..$ name : chr "beta61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta62 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta63 :List of 11
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## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta64 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
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## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta74 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
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## .. .. ..$ theta75 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
## .. .. .. ..$ hyperid : num 103079
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
## .. .. .. ..$ hyperid : num 103081
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
## .. .. .. ..$ hyperid : num 103082
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
## .. .. .. ..$ hyperid : num 103083
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
## .. .. .. ..$ hyperid : num 103084
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
## .. .. .. ..$ hyperid : num 103085
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
## .. .. .. ..$ hyperid : num 103086
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
## .. .. .. ..$ hyperid : num 103087
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
## .. .. .. ..$ hyperid : num 103088
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
## .. .. .. ..$ hyperid : num 103089
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
## .. .. .. ..$ hyperid : num 103090
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x606a30b6c7b8>
## .. .. .. ..$ fcall : language "f"(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ SpeedLimit:List of 12
## .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol SpeedLimit
## .. .. .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x606a30b4c898>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:269022] 53804 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:269022] 53804 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:161415] 53804 53804 53804 0 1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:497205] 53804 53804 165734 0 8781 ...
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:165734] 543 -110 -162 -110 -162 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:293940] 0 5681 8781 8782 31844 31929 31930 53648 1 8787 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:293940] 30417826 8481012 -6540098 1321185 -14230506 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:434688] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:586826] 0 5399 5681 8781 8782 8783 8784 31034 31844 31927 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 15 32 41 50 59 76 85 94 111 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 53804
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:269022] 53804 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:269022] 53804 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:161415] 53804 53804 53804 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:497205] 53804 53804 165734 0 8781 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:53804] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:53804] 0.01529 0.01826 0.0094 0.0097 0.00917 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:165734] 0 8781 31844 31930 53648 1 8788 31432 31923 53254 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 5 10 13 16 19 24 27 30 35 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:165734] 543 -110 -162 -110 -162 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:293940] 0 5681 8781 8782 31844 31929 31930 53648 1 8787 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 8 17 22 27 32 41 46 51 60 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:293940] 30417826 8481012 -6540098 1321185 -14230506 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:434688] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 12 25 32 39 46 59 66 73 86 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:434688] 1.98e+12 1.06e+12 -3.92e+11 1.11e+11 -1.59e+10 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:586826] 0 5399 5681 8781 8782 8783 8784 31034 31844 31927 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:53805] 0 15 32 41 50 59 76 85 94 111 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 53804 53804
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:586826] 1.41e+17 1.62e+15 1.01e+17 -2.50e+16 7.57e+15 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 53804
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 161412
## .. .. .. .. ..$ values : int [1:161412] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x606a30b2c880>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 161412
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:662364] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:662364] 0 5681 8781 8782 8783 31034 31844 31928 31929 31930 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:269022] 53804 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:269022] 53804 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:161415] 53804 53804 53804 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:497205] 53804 53804 165734 0 8781 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.7 -1.87 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
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## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 53804
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## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
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## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
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## .. .. .. .. .. .. .. ..$ main : int [1:161412] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:161412] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 645648
## .. .. .. .. .. .. ..$ n_inla : num 645648
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 645648 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 645648
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
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## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x606a30e431b8>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## .. .. .. ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## .. .. .. ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9007"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.05.18-2"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"## Time difference of 5.602599 hours## inlabru version: 2.10.1.9007
## INLA version: 24.05.18-2
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.442, Running = 18826, Post = 51.6, Total = 18878
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 29.794 0.296 29.218 29.792 30.378 29.792 0
## SpeedLimit 6.551 0.194 6.159 6.554 6.925 6.553 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.010 0.000 0.010 0.010
## Theta1 for field 2.488 0.013 2.463 2.488
## Theta2 for field -1.401 0.043 -1.481 -1.402
## Theta3 for field -0.001 0.008 -0.016 -0.001
## Theta4 for field -0.001 0.011 -0.023 -0.001
## Theta5 for field -2.546 0.028 -2.604 -2.544
## 0.975quant mode
## Precision for the Gaussian observations 0.011 0.010
## Theta1 for field 2.516 2.485
## Theta2 for field -1.312 -1.409
## Theta3 for field 0.015 -0.001
## Theta4 for field 0.019 0.000
## Theta5 for field -2.496 -2.537
##
## Deviance Information Criterion (DIC) ...............: 200593.24
## Deviance Information Criterion (DIC, saturated) ....: 34629.10
## Effective number of parameters .....................: 8846.28
##
## Watanabe-Akaike information criterion (WAIC) ...: 200842.97
## Effective number of parameters .................: 7222.81
##
## Marginal log-Likelihood: -104137.88
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')## mean sd 0.025quant 0.5quant 0.975quant
## Theta1.matern 2.488090000 0.01338310 2.4634400 2.487560000 2.5160100
## Theta2.matern -1.400770000 0.04301530 -1.4805400 -1.402320000 -1.3115000
## Theta3.matern -0.000810098 0.00782073 -0.0159023 -0.000912423 0.0148892
## Theta4.matern -0.001048230 0.01068700 -0.0226040 -0.000873303 0.0194669
## nu 0.109116000 0.00278482 0.1033460 0.109246000 0.1142140
## mode
## Theta1.matern 2.485090000
## Theta2.matern -1.409450000
## Theta3.matern -0.001350720
## Theta4.matern -0.000117961
## nu 0.1098410001.3 Crossvalidation 1
#load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 200, by = 20)/1000The code of chunk below was executed only one time.
{r}
load(here("Models_output/distmatrixfixed_19May24.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 200, by = 20)/1000
GROUPS <- list()
for (j in 1:length(distance)) {
print(j)
GROUPS[[j]] = list()
for (i in 1:nrow(points)) {
rowi = points[i, ]
GROUPS[[j]][[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
}
}
save(GROUPS, file = here("Models_output/GROUPS_19May24.RData"))The code of chunk above was executed only one time.
load(here("Models_output/GROUPS_19May24.RData"))
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
print(j)
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10
## [1] 11
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)